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检索条件"机构=Center for Control Engineering and Computation Electrical and Computer Engineering Department"
1964 条 记 录,以下是311-320 订阅
Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling
Visuotactile Sensor Enabled Pneumatic Device Towards Complia...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Shoujie Li Mingshan He Wenbo Ding Linqi Ye Xueqian Wang Junbo Tan Jinqiu Yuan Xiao-Ping Zhang Tsinghua Shenzhen International Graduate School Shenzhen China Department of Mechanical Engineering Seoul National University Seoul Korea Department of Intelligent Control Qianyuan Institute of Science Hangzhou China Clinical Research Center The Seventh Affiliated Hospital Sun Yat-sen University Shenzhen Guangdong China Department of Electrical Computer and Biomedical Engineering Ryerson University Toronto ON Canada
Manual oropharyngeal (OP) swab sampling is an intensive and risky task. In this article, a novel OP swab sampling device of low cost and high compliance is designed by combining the visuotactile sensor and the pneumat...
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GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks
arXiv
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arXiv 2023年
作者: Li, Yuhang Lu, Yang Ai, Bo Dobre, Octavia A. Ding, Zhiguo Niyato, Dusit School of Computer and Information Technology Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong University Beijing100044 China State Key Laboratory of Rail Traffic Control and Safety the School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China Faculty of Engineering and Applied Science Memorial University St. John’sNLA1C 5S7 Canada Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Department of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore
The advantages of graph neural networks (GNNs) in leveraging the graph topology of wireless networks have drawn increasing attentions. This paper studies the GNN-based learning approach for the sum-rate maximization i... 详细信息
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Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing
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Physical Review Applied 2023年 第3期19卷 034053-034053页
作者: Zachary Morrell Marc Vuffray Andrey Y. Lokhov Andreas Bärtschi Tameem Albash Carleton Coffrin Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Department of Electrical & Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Department of Physics & Astronomy University of New Mexico Albuquerque New Mexico 87131 USA Center for Quantum Information and Control (CQuIC) University of New Mexico Albuquerque New Mexico 87131 USA
We propose a quantum annealing protocol that effectively probes the dynamics of a single qubit on D-Wave’s quantum annealing hardware. This protocol uses D-Wave’s h-gain schedule functionality, which allows the rapi... 详细信息
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A SINS Error Correction Approach Based on Dual-Threshold ZV Detection and Cubature Kalman Filter
A SINS Error Correction Approach Based on Dual-Threshold ZV ...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Xu, Ruijie Chen, Shichao Sun, Wenqiao Lv, Yisheng Luo, Jialiang Tang, Ying Institute of Automation Chinese Academy of Sciences College of Information Science & Technology Beijing University of Chemical Technology The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences China University of Geosciences Beijing School of Information Engineering The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Rowan University Department of Electrical and Computer Engineering Glassboro United States
Global Navigation Satellite Systems (GNSS) can provide real-time positioning information for outdoor users, but cannot for indoor scenarios or heavily occluded outdoor scenarios. Strap-down Inertial Navigation System ... 详细信息
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Constrained Optimization with Decision-Dependent Distributions
arXiv
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arXiv 2023年
作者: Wang, Zifan Liu, Changxin Parisini, Thomas Zavlanos, Michael M. Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures StockholmSE-10044 Sweden The Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom The Department of Engineering and Architecture University of Trieste Trieste34127 Italy The KIOS Research and Innovation Center of Excellence University of Cyprus NicosiaCY-1678 Cyprus The Department of Mechanical Engineering and Materials Science Duke University DurhamNC United States
In this paper we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems with decision-dependent distribu... 详细信息
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Minimum jointly structural input and output selection for strongly connected networks
arXiv
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arXiv 2021年
作者: Ramos, Guilherme Pedro Aguiar, A. Pequito, Sérgio Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Portugal Delft University of Technology Delft Center for Systems and Control Netherlands
In this paper, given a linear time-invariant strongly connected network, we study the problem of determining the minimum number of state variables that need to be simultaneously actuated and measured to ensure structu... 详细信息
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On the conceptualization of total disturbance and its profound implications
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Science China(Information Sciences) 2020年 第2期63卷 221-223页
作者: Sen CHEN Wenyan BAI Yu HU Yi HUANG Zhiqiang GAO Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Aerospace Automatic Control Institute Center for Advanced Control Technologies Department of Electrical Engineering and Computer ScienceCleveland State University
Dear editor,How to deal with uncertainties and/or disturbances is a central issue pushing the development of both control science and control technology. Among various approaches, the active disturbance rejection cont... 详细信息
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Port-Hamiltonian Modeling of Hydraulics in 4th Generation District Heating Networks
Port-Hamiltonian Modeling of Hydraulics in 4th Generation Di...
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IEEE Conference on Decision and control
作者: Felix Strehle Juan E. Machado Michele Cucuzzella Albertus J. Malan Jacquelien M.A. Scherpen Sören Hohmann Institute of Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Jan C. Willems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen AG Groningen the Netherlands Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy
In this paper, we use elements of graph theory and port-Hamiltonian systems to develop a modular dynamic model describing the hydraulic behavior of 4th generation district heating networks. In contrast with earlier ge... 详细信息
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Designing, simulating, and performing the 100-AV field test for the CIRCLES consortium Methodology and Implementation of the Largest mobile traffic control experiment to date
arXiv
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arXiv 2024年
作者: Ameli, Mostafa Mcquade, Sean Lee, Jonathan W. Bunting, Matt Nice, Matt Wang, Han Barbour, Will Weightman, Ryan Denaro, Chris Delorenzo, Ryan Hornstein, Sharon Davis, Jon F. Timsit, Dan Wagner, Riley Xu, Rita Mahmood, Malaika Mahmood, Mikail Monache, Maria Laura Delle Seibold, Benjamin Work, Dan Sprinkle, Jonathan Piccoli, Benedetto Bayen, Alexandre M. Universite Gustave Eiffel COSYS-GRETTIA France University of California Berkeley Department of Electrical Engineering and Computer Sciences United States University of California Berkeley Department of Civil and Environmental Engineering United States Rutgers University-Camden Center for Computational and Integrated Biology United States Rutgers University-Camden Department of Mathematical Sciences United States Vanderbilt University Civil and Environmental Engineering United States General Motors Control and Learning Team United States Temple University Department of Mathematics United States Ecole Polytechnique France
Previous controlled experiments on single-lane ring roads [1] have shown that a single partially autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the question of how these finding... 详细信息
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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention
Multimodal Emotion Recognition Based on Multi-Scale Facial F...
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IEEE International Conference on Industrial Technology (ICIT)
作者: Chengao Bao Luefeng Chen Min Li Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation and the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan Tokyo Institute of Technology Tokyo Japan
A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branc... 详细信息
来源: 评论